Green and intelligent: the role of AI in the climate transition

<p><strong>Green and intelligent: the role of AI in the climate transition</strong></p><p><strong>Citation:</strong> Stern, N., Romani, M., Pierfederici, R., Braun, M., Barraclough, D., Lingeswaran, S., Weirich-Benet, E., &amp; Niemann, N. (2025). Green and intelligent: the role of AI in the climate transition. https://doi.org/10.1038/s44168-025-00252-3.</p><p><strong>Main Takeaways:</strong></p><ul><li><strong>Five Key Areas for Climate Action:</strong> Artificial Intelligence can accelerate the net-zero transition across five primary avenues: transforming complex economic systems, innovating technology discovery and resource efficiency, nudging consumer behavior toward sustainable choices, modeling climate systems for better policy, and managing adaptation and resilience.</li><li><strong>Significant Emissions Reduction Potential:</strong> By applying AI to just three major sectors—power, food (specifically meat and dairy), and mobility (light road vehicles)—global emissions could be reduced by 3.2 to 5.4 GtCO2e annually by 2035.</li><li><strong>Net-Positive Climate Impact:</strong> The emissions savings generated by AI in these three sectors alone would more than offset the projected 0.4 to 1.6 GtCO2e increase in emissions caused by the energy consumption of all global AI activities and data centers.</li><li><strong>Closing the Emissions Gap:</strong> Harnessing AI to improve the efficiency and market adoption of low-carbon solutions could push global progress 36% closer to aligning with an ambitious emissions reduction trajectory by 2035.</li><li><strong>The Critical Role of Government:</strong> Relying solely on market forces to govern AI is risky; an &quot;active state&quot; is essential to direct AI toward public goods, regulate its environmental footprint (like mandating renewable energy for data centers), and ensure equitable deployment so the Global South is not left behind.</li></ul>